Microsoft Parallel Data Warehouse handles large data volumes with strong performance, reliability, and integration within Microsoft's ecosystem. Users value its data integrity and support for querying and business intelligence. However, it faces limitations with BI tool compatibility, concurrent queries capped at 32, and high pricing. Improvements are needed in error messaging, visualization, and reporting. Despite offering stability, scalability, and technical support, concerns remain about processing speed for extensive data loads and cost-effectiveness.
